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🧩 The Puzzle is Complete: From 70s Vectors to Modern AI Agents
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🧩 The Puzzle is Complete: From 70s Vectors to Modern AI Agents

DEV Community·Maxim·about 1 month ago
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Nothing New Under the Sun ☀️ Started by scrutinizing how things actually work under the hood. When you dig into the pipeline, you realize that a modern AI agent is essentially just a marriage between a regular chatbot and a pre-trained model. Wrapped all together, they gave it the name "AI Agent" : Vector DBs: Marketed as a “new” type of database for the masses (Pinecone, etc.), yet the core concepts of vector representations and spatial indexing date back to the 1970s . API and Cloud services: The delivery mechanism. RAG pipelines and LLMs: Serving as the interface for the everyday user. The ideas of similarity and finding nearest neighbors are far from new. These concepts have been used for decades in search, computer vision, pattern recognition, and research systems—long before the public AI hype. The only "novelty" is that we can now access this through the API! What Happens Under the Hood of an AI Agent? (The Pipeline!) When we write a prompt query, these steps occur: 1.…

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